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Automated Sequence Design using Neural Architecture Search

Author:Hongjun An  Sooyeon Ji  Sehong Oh  Jiye Kim  Dongmyung Shin  Jongho Lee  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0052  

Room Session:N11 (Breakout A)  

Institution:Hankuk University of Foreign Studies  Seoul National University  

Deep-learning-based raw data generation for deep-learning-based image reconstruction

Author:Frank Zijlstra  Peter While  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0049  

Room Session:N11 (Breakout A)  

Institution:St. Olav's University Hospital  NTNU - Norwegian University of Science and Technology  

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

Author:Wei Peng  Li Feng  Guoying Zhao  Fang Liu  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0050  

Room Session:N11 (Breakout A)  

Institution:Harvard Medical School  Icahn School of Medicine at Mount Sinai  University of Oulu  

The More the Merrier? - On the Number of Trainable Parameters in Iterative Neural Networks for Image Reconstruction

Author:Andreas Kofler  Tobias Schaeffter  Christoph Kolbitsch  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0051  

Room Session:N11 (Breakout A)  

Institution:Physikalisch-Technische Bundesanstalt  King's College London  Technische Universität Berlin  

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation

Author:Arjun Desai  Andrew Schmidt  Elka Rubin  Christopher Sandino  Marianne Black  Valentina Mazzoli  Kathryn Stevens  Robert Boutin  Christopher Ré  Garry Gold  Brian Hargreaves  Akshay Chaudhari  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0048  

Room Session:N11 (Breakout A)  

Institution:Stanford University  

Toward a 1-minute high-resolution brain exam - MR Fingerprinting with fast reconstruction andML-synthesized contrasts

Author:Sophie Schauman  Siddharth Iyer  Mahmut Yurt  Xiaozhi Cao  Congyu Liao  Zheng Zhong  Guanhua Wang  Greg Zaharchuk  Shreyas Vasanawala  Kawin Setsompop  

Session Type:Oral  

Session Date:Monday, 09 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction  

Program Number:0053  

Room Session:N11 (Breakout A)  

Institution:Massachusetts Institute of Technology  Stanford University  University of Michigan